Study on the prediction of patent hiding company using patent information analysis

Youngho Kim, Junseok Lee, Jiho Kang, Sangsung Park, Sunghae Jun, Dongsik Jang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Establishment of an effective R&D strategy can be achieved through Prior art search. Prior art search is aimed at identifying major applicants in a specific technology field and is mainly carried out using patents. However, some companies hide their patents as M&A or other companies with most shares in order to avoid exposure. It is difficult to identify the actual owners of patents of such patent hiding companies. Thus, patent hiding companies hinder successful prior art search. To solve this problem, this paper proposes a model for predicting patent hiding companies by using text information and quantitative indicators of patents. As experimental data, N screen technology patents registered in USPTO are used. As a result of the experiment, Cleversafe was found to be IBM's patent hiding company.

    Original languageEnglish
    Title of host publicationICICM 2019 - Proceedings of 2019 the 9th International Conference on Information Communication and Management
    PublisherAssociation for Computing Machinery
    Pages123-126
    Number of pages4
    ISBN (Electronic)9781450371889
    DOIs
    Publication statusPublished - 2019 Aug 23
    Event9th International Conference on Information Communication and Management, ICICM 2019 - Prague, Czech Republic
    Duration: 2019 Aug 232019 Aug 26

    Publication series

    NameACM International Conference Proceeding Series

    Conference

    Conference9th International Conference on Information Communication and Management, ICICM 2019
    Country/TerritoryCzech Republic
    CityPrague
    Period19/8/2319/8/26

    Bibliographical note

    Funding Information:
    This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A3B03031152). This work was supported by the National Research Foundation of Korea(NRF) grant funded by the Korea government(MSIT) (No. 2017R1A2B1010208). This work was supported by the BK21 Plus (Big Data in Manufacturing and Logistics Systems, Korea University). This research was supported by the Commercialization Promotion Agency for R&D Outcomes(COMPA) funded by the Ministry of Science and ICT(MSIT).[2019K000305]

    Publisher Copyright:
    © 2019 Association for Computing Machinery.

    Keywords

    • Latent Semantic Analysis
    • Patent Hiding Company
    • Patent Information Analysis
    • Prior Art Search

    ASJC Scopus subject areas

    • Software
    • Human-Computer Interaction
    • Computer Vision and Pattern Recognition
    • Computer Networks and Communications

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